TY - JOUR AU - Laird, Angela AU - Eickhoff, Simon AU - Kurth, Florian AU - Fox, Peter AU - Uecker, Angela AU - Turner, Jessica AU - Robinson, Jennifer AU - Lancaster, Jack AU - Fox, Peter PY - 2009 M3 - Original Research TI - ALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain atlas JO - Frontiers in Neuroinformatics UR - https://www.frontiersin.org/articles/10.3389/neuro.11.023.2009 VL - 3 SN - 1662-5196 N2 - With the ever-increasing number of studies in human functional brain mapping, an abundance of data has been generated that is ready to be synthesized and modeled on a large scale. The BrainMap database archives peak coordinates from published neuroimaging studies, along with the corresponding metadata that summarize the experimental design. BrainMap was designed to facilitate quantitative meta-analysis of neuroimaging results reported in the literature and supports the use of the activation likelihood estimation (ALE) method. In this paper, we present a discussion of the potential analyses that are possible using the BrainMap database and coordinate-based ALE meta-analyses, along with some examples of how these tools can be applied to create a probabilistic atlas and ontological system of describing function–structure correspondences. ER -